Applied Microeconometric - £7.06   Add to cart

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Applied Microeconometric

These notes offer some insights from the philosophy of regression to various regression models that are used for cross sectional individual data.

8 items

Regression with Binary Outcome 1

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The note provides student with knowledge on how to analyze model when a dependant variable takes value only 0 and 1

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Regression with Binary Outcome 2

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The note provides student with knowledge to analyze a model when the dependent variable represents a set of alternatives and choices.

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Selection Model Regression

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The note provides student knowledge on how to analyze model when individuals in the sample may not be selected randomly or do not truly represent the population. The model aims to solve bias due to selection.

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Two Stage Least Square Regression

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The note provides student knowledge on two stages least square regression. It aims to solve the bias that is due to omitted variable, reverse causality, and unobserved variable.

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Mincer Wage Regression

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The note provides student specific knowledge on regression when the dependent variable represents wage of individuals.

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Oaxaca Wage Decomposition Model

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The note provides student specific knowledge to account how much wage differential is due to observed and unobserved characteristics.

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Philosophy of Regression

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The note provides insight to question of why, when, and how regression is needed for data analysis. It is critically important for student to understand the philosophy of regression and the idea behind it.

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Philosophy of Regression

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The note provides insight on the philosophy behind the regression.It is a good start for those who do not have econometric background. By going over the note, student will understand why, when and how regression should be done

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